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研究生: 白一傑
Pai, Yi-Chieh
論文名稱: 用於揀貨與倉儲管理之混合式室內定位技術
A Hybrid Indoor Positioning Technique for Order Picking and Warehouse Management
指導教授: 鄧維光
Teng, Wei-Guang
學位類別: 碩士
Master
系所名稱: 工學院 - 工程科學系
Department of Engineering Science
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 43
中文關鍵詞: 貨物追溯室內物流即時定位倉儲管理系統
外文關鍵詞: goods tracking, indoor logistics, real-time positioning, warehouse management system
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  • 在全球化與在地化之趨勢下,物流扮演著支撐經濟社會發展的重要角色,物流業者面臨倉儲作業與庫存控制作業的多樣化與複雜化,然而現今絕大多數的倉儲中仍是依靠人力作業,而對應的倉儲管理系統亦無法做到完全的電子化,除了容易造成人為疏失外,在偌大的倉儲空間中要追蹤貨物流向也顯得十分困難,因此本研究建構了一個用於揀貨及倉儲管理的混合式定位技術,利用無線通訊技術獲取人員、貨物及載具於室內的即時位置資訊,並將此系統應用於物流業的倉儲管理作業。根據不同定位技術之特點,UWB具有高精準度、穿透性強以及抗干擾的特性,我們將UWB標籤安裝於人員及載具上,而RFID具有低成本、省能源以及可使用被動式標籤的特性,我們將RFID標籤安裝於貨物上,如此一來針對倉儲中動態及靜態的定位目標使用不同的定位技術,透過倉儲空間中的基站與感測器蒐集位置資訊,再透過可視化的使用者介面即時顯示定位資訊,輔助管理者進行分析與決策,如此一來對載具、貨物與人員位置進行更為精準且即時地追蹤 ,以期達到事故預防、優化設備與人力資源配置、增加移動效率、資產定位、提升盤點效率等用途。相較於傳統的倉儲管理系統,管理者可以獲得即時更新的定位資訊,並節省人力成本,而所記錄的定位資訊更可進階應用於未來自動化倉儲之研發工作。

    With the trends of globalization and localization, logistics plays a vital role in socio-economic development. In addition to delivering goods efficiently, corresponding companies must face the challenges resulting from the variety and complexity of indoor logistics in their warehouses. Note that works in current warehouses are still relying on manual labor and most warehouse management systems are usually not fully computerized yet. Consequently, management tasks involving tracking goods, personnel, and vehicles are tedious and error-prone. In this work, we developed a WMS with positioning techniques to automatically identify and track our targets' current location. According to features of different wireless positioning techniques, UWB can achieve high accuracy, high penetration, and anti-interference, so we attach UWB tags to handling personnel and vehicles. In contrast, RFID can achieve low cost, low energy consumption, and also it can use passive tags, through these characteristics, we attach RFID tags to goods. Therefore, for these components in the static or moving feature, we use different positioning techniques. Real-time location information can then be collected by sensors/anchors and immediately displayed to a warehouse manager for analytics and decision making. As compared with a conventional warehouse management system, the proposed system provides managers real-time location information and reduces the labor cost. This system can be used to prevent accidents, optimize equipment and labor utilization, increase transportation efficiency, track assets, and accelerate inventory checks. Furthermore, recorded information can be employed in future work of automated warehouse management.

    Chapter 1 Introduction 1 1.1 Motivation and Overview 1 1.2 Contributions of This Work 2 Chapter 2 Preliminaries 3 2.1 Recent Development in Warehouse Management 3 2.2 Common Techniques of Indoor Positioning 5 2.3 Review of Positioning Algorithms 7 2.4 Review of Indoor Positioning in Warehouses 10 Chapter 3 Proposed Scheme of Hybrid Positioning Technique 14 3.1 Design of Our Proposed Scheme 14 3.2 UWB Positioning Principle 17 3.2.1 UWB Distance Measurement 18 3.2.2 UWB Positioning Algorithm 19 3.3 RFID Positioning Principle 20 3.4 Scenario in Warehouse 22 3.4.1 Positioning Display 22 3.4.2 Order Picking 22 3.4.3 Inventory 23 3.4.4 System Data Flow 23 Chapter 4 Prototyping and Empirical Studies 25 4.1 Measuring UWB Performance 25 4.2 Measuring RFID Performance 27 4.3 Evaluation of Our Prototype System 31 4.4 User Interface 34 4.4.1 Positioning Display 34 4.4.2 Order Picking 36 4.4.3 Inventory 36 Chapter 5 Conclusions and Future Work 38 Bibliography 40

    [1] Y. Lee, J. Kim, H. Lee, and K. Moon, "IoT-based Data Transmitting System Using a UWB and RFID System in Smart Warehouse," Proceedings of the 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), pp.545-547, 2017.
    [2] Y. Li, W. Zou, W. He, Y. Liu, and K. Yuan, "A Robot Automatic Inspection System For RFID Intelligent Warehouse," Proceedings of the 9th World Congress on Intelligent Control and Automation, pp.124-129, 2011.
    [3] H. K. Chow, K. L. Choy, W. B. Lee, & K. C. Lau, "Design of a RFID case-based resource management system for warehouse operations," Expert systems with applications, 30(4): 561-576, 2006.
    [4] K. Zhao, M. Zhu, B. Xiao, X. Yang, C. Gong, & J. Wu, "Joint RFID and UWB Technologies in Intelligent Warehousing Management System," IEEE Internet of Things Journal, 7(12): 11640-11655, 2020.
    [5] R. De Koster, & E. Van Der Poort, "Routing orderpickers in a warehouse: a comparison between optimal and heuristic solutions," IIE transactions, 30(5): 469-480, 1998.
    [6] "What is the WMS?," Available: https://www.hitachi-tstv.com/en/wms, 2020.
    [7] J. Y. Kim, & D. J. Park, "Internet-of-Things Based Approach for Warehouse Management System," International Journal of Multimedia and ubiquitous Engineering, 11(10): 159-166, 2016.
    [8] C. G. P. II, "An evaluation of order picking policies for mail order companies," Production and operations management, 9(4): 319-335, 2000.
    [9] M. B. M. De Koster, E. S. Van der Poort, & M. Wolters, "Efficient order batching methods in warehouses," International Journal of Production Research, 37(7): 1479-1504, 1999.
    [10] J. Park, M. Kang, & K. Lee, "An intelligent operations scheduling system in a job shop," The International Journal of Advanced Manufacturing Technology, 11(2): 111-119, 1996.
    [11] F. Halawa, H. Dauod, I. G. Lee, Y. Li, S. W. Yoon, & S. H. Chung, "Introduction of a real time location system to enhance the warehouse safety and operational efficiency," International Journal of Production Economics, 224: 107541, 2020.
    [12] E. Cogo, E. Žunić, A. Beširević, S. Delalić, & K. Hodžić, "Position based visualization of real world warehouse data in a smart warehouse management system," Proceedings of the 19th IEEE International Symposium INFOTEH-JAHORINA, pp.1-6, 2020.
    [13] Y. Lukito, & A. R. Chrismanto, "Recurrent neural networks model for WiFi-based indoor positioning system," Proceedings of the 2017 IEEE International Conference on Smart Cities, Automation & Intelligent Computing Systems, pp.121-125, 2017.
    [14] J. Baek, Y. Choi, C. Lee, & J. Jung, "Performance comparison of bluetooth beacon and reverse RFID systems as potential tools for measuring truck travel time in open-pit mines: A simulation experiment," Geosystem Engineering, 21(1): 43-52, 2018.
    [15] F. Zafari, A. Gkelias, & K. K. Leung, "A survey of indoor localization systems and technologies," IEEE Communications Surveys & Tutorials, 21(3): 2568-2599, 2019.
    [16] “White Paper: Indoor Positioning & Services,” Available: https://cdn.infsoft.com/ www/images/solutions/basics/whitepaper/infsoft-Whitepaper-EN-Indoor-Positioning _download.pdf.
    [17] R. W. C. Ling, A. Gupta, A. Vashistha, M. Sharma, & C. L. Law, "High precision UWB-IR indoor positioning system for IoT applications," Proceedings of the 4th IEEE World Forum on Internet of Things, pp. 135-139, 2018.
    [18] M. B. Afuosi, & M. R. Zoghi, "Indoor positioning based on improved weighted KNN for energy management in smart buildings," Energy and Buildings, 212: 109754, 2020.
    [19] W. Wang, J. Chen, G. Huang, & Y. Lu, "Energy efficient HVAC control for an IPS-enabled large space in commercial buildings through dynamic spatial occupancy distribution," Applied Energy, 207:305-323, 2017.
    [20] H. Liu, H. Darabi, P. Banerjee, & J. Liu, "Survey of wireless indoor positioning techniques and systems," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37(6): 1067-1080, 2007.
    [21] N. R. Ahmed, E. M. Sample, & M. Campbell, "Bayesian Multicategorical Soft Data Fusion for Human–Robot Collaboration," IEEE Transactions on Robotics, 29(1): 189-206, 2013.
    [22] S. Monica and G. Ferrari, "Low-complexity UWB-based Collision Avoidance System for Automated Guided Vehicles," ICT Express, 2(2): 53-56, 2016.
    [23] W. Liu, X. Chen, and Q. Sun, "Development of Enterprise Accident Early Warning System Based on IOT," Proceedings of the International Conference on Applied Human Factors and Ergonomics, pp.139-148, 2018.
    [24] M. Rashid, S. A. Ahad, S. Siddique, & T. Motahar, "Smart Warehouse Management System with RFID and Cloud Database," Proceedings of the 8th IEEE International Conference on Informatics, Electronics & Vision, pp. 218-222, 2019.
    [25] T. Adiono, H. Ega, H. Kasan, & C. S. Harimurti, "Fast Warehouse Management System (WMS) using RFID based goods locator system," Proceedings of the 6th IEEE Global Conference on Consumer Electronics, pp. 1-2, 2017.
    [26] Q. Wen, Y. Liang, C. Wu, A. Tavares, & X. Han, "Indoor localization algorithm based on artificial neural network and radio-frequency identification reference tags," Advances in Mechanical Engineering, 10(12): 1687814018808682, 2018.
    [27] G. H. Kim, O. H. Kwon, & A. S. Oh, "Design of Warehouse Management System Using IPS under Bluetooth Environment," International Journal of Multimedia and Ubiquitous Engineering, 11(6): 281-288, 2016.
    [28] Z. Zhao, J. Fang, G. Q. Huang, & M. Zhang, "iBeacon enabled indoor positioning for warehouse management," Proceedings of the 4th international symposium on computational and business intelligence, pp. 21-26, 2016.
    [29] Z. R. Jiaxing, & C. Xuan, "UWB positioning system based on an improved TWR-TDOA location algorithm," Journal of Computer Applications, 0:0, 2017.
    [30] D. Ni, O. A. Postolache, C. Mi, M. Zhong, & Y. Wang, "UWB indoor positioning application based on Kalman filter and 3-D TOA localization algorithm," Proceedings of the 11th IEEE International Symposium on Advanced Topics in Electrical Engineering, pp. 1-6, 2019.

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